| Interior point algorithms: guaranteed optimality for fluence map optimization in IMRT. | |
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MedLine Citation:
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PMID: 20798458 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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One of the most widely studied problems of the intensity-modulated radiation therapy (IMRT) treatment planning problem is the fluence map optimization (FMO) problem, the problem of determining the amount of radiation intensity, or fluence, of each beamlet in each beam. For a given set of beams, the fluences of the beamlets can drastically affect the quality of the treatment plan, and thus it is critical to obtain good fluence maps for radiation delivery. Although several approaches have been shown to yield good solutions to the FMO problem, these solutions are not guaranteed to be optimal. This shortcoming can be attributed to either optimization model complexity or properties of the algorithms used to solve the optimization model. We present a convex FMO formulation and an interior point algorithm that yields an optimal treatment plan in seconds, making it a viable option for clinical applications. |
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Authors:
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Dionne M Aleman; Daniel Glaser; H Edwin Romeijn; James F Dempsey |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-08-27 |
Journal Detail:
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Title: Physics in medicine and biology Volume: 55 ISSN: 1361-6560 ISO Abbreviation: Phys Med Biol Publication Date: 2010 Sep |
Date Detail:
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Created Date: 2010-09-02 Completed Date: 2010-12-15 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0401220 Medline TA: Phys Med Biol Country: England |
Other Details:
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Languages: eng Pagination: 5467-82 Citation Subset: IM |
Affiliation:
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Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, ON M5S 3G8, Canada. aleman@mie.utoronto.ca |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Humans Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted / methods* Radiotherapy, Intensity-Modulated / methods* |
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